Mathematical Tools for Data Mining

Set Theory, Partial Orders, Combinatorics

Nonfiction, Computers, Database Management, Data Processing, General Computing
Cover of the book Mathematical Tools for Data Mining by Chabane Djeraba, Dan A. Simovici, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Chabane Djeraba, Dan A. Simovici ISBN: 9781447164074
Publisher: Springer London Publication: March 27, 2014
Imprint: Springer Language: English
Author: Chabane Djeraba, Dan A. Simovici
ISBN: 9781447164074
Publisher: Springer London
Publication: March 27, 2014
Imprint: Springer
Language: English

Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included.

More books from Springer London

Cover of the book Intramedullary Nailing by Chabane Djeraba, Dan A. Simovici
Cover of the book Cancer and Pregnancy by Chabane Djeraba, Dan A. Simovici
Cover of the book Advanced Methods of Solid Oxide Fuel Cell Modeling by Chabane Djeraba, Dan A. Simovici
Cover of the book Machine Vision Algorithms in Java by Chabane Djeraba, Dan A. Simovici
Cover of the book Rheumatology in Practice by Chabane Djeraba, Dan A. Simovici
Cover of the book Therapeutic Hypothermia After Cardiac Arrest by Chabane Djeraba, Dan A. Simovici
Cover of the book Textbook of Cardiovascular Intervention by Chabane Djeraba, Dan A. Simovici
Cover of the book Mathematical Logic for Computer Science by Chabane Djeraba, Dan A. Simovici
Cover of the book Dynamic Modeling, Simulation and Control of Energy Generation by Chabane Djeraba, Dan A. Simovici
Cover of the book Total Knee Replacement by Chabane Djeraba, Dan A. Simovici
Cover of the book Research in Clinical Practice by Chabane Djeraba, Dan A. Simovici
Cover of the book Strategies for Feedback Linearisation by Chabane Djeraba, Dan A. Simovici
Cover of the book Investment in Energy Assets Under Uncertainty by Chabane Djeraba, Dan A. Simovici
Cover of the book Fuzzy Hierarchical Model for Risk Assessment by Chabane Djeraba, Dan A. Simovici
Cover of the book Obesity During Pregnancy in Clinical Practice by Chabane Djeraba, Dan A. Simovici
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy